Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add chuancyzhang/deepseek-cowork --skill daily_watchlist_morning_brief_skillgit clone --depth 1 https://github.com/chuancyzhang/deepseek-coworkWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/daily_watchlist_morning_brief_skill)<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/daily_watchlist_morning_brief_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/daily_watchlist_morning_brief_skill/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/daily_watchlist_morning_brief_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/daily_watchlist_morning_brief_skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00062 | $0.01255 |
| Opus 5.5 | $0.00025 | $0.00502 |
| Sonnet 5.5 | $0.00012 | $0.00251 |
| Haiku 4.5 | $0.00006 | $0.00126 |
Grade A, and why
daily_watchlist_morning_brief_skill scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Daily Watchlist Morning Brief Skill
数据依赖与执行前置条件
推荐使用万得 wind-mcp-skill 获取底层数据。执行前先检查本地是否已有 wind-mcp-skill;若没有,提示用户安装:
Cowork 适配:所需子 Skill 已随
wind-aifinmarket固定快照内置,不执行安装或在线更新命令。
技能定位
本技能用于把一组自选股在开盘前需要关注的信息压缩成一份可快速浏览的中文简报。输出重点不是罗列全部资讯,而是帮助使用者在最短时间内判断今天先盯什么、为什么盯、需要防什么风险。
执行流程
Step 1:确认覆盖范围与时间窗口
先明确需要覆盖的股票池、观察市场以及时间窗口。若用户未给出范围,默认只处理本次明确提到的股票,并以“上一交易日收盘后至当前盘前”为信息窗口。
Step 2:梳理隔夜信息
逐只整理隔夜出现的核心变化,优先覆盖以下内容:
- 公告、业绩预告、停复牌、回购、减持、重大合同、监管进展
- 行业政策、板块新闻、海外可比标的异动
- ADR、期货、指数或相关商品价格的联动信号
- 当日已知日程,包括业绩发布、股东大会、路演、政策会议、数据公布
对重复信息做合并,不要把同一事件拆成多条噪音。
Step 3:识别真正会影响开盘节奏的变量
从收集到的事件中筛出最可能影响今日交易行为的因素,并判断其影响层级:
- 高优先级:可能直接影响开盘方向、波动率或资金关注度
- 中优先级:需要跟踪,但不一定改变开盘判断
- 低优先级:仅作背景信息,不进入核心摘要
如果某条消息只是情绪噪音、旧闻重提或与股票主线关联较弱,应降级处理。
Step 4:生成今日观察顺序
按照“重要性 + 紧迫性 + 不确定性”排序,给出今日最值得优先盯住的股票与原因。排序时重点考虑:
- 是否存在事件催化
- 是否临近关键价格位置
- 是否可能出现高开低走或低开反抽
- 是否与当前市场主线或板块情绪共振
Step 5:形成盘前行动提示
为每只核心股票给出简洁、可执行的盘前提示,例如:
- 开盘先看什么信号确认
- 哪类表现说明预期被验证
- 哪类表现说明情绪透支或存在冲高回落风险
- 哪些股票可以先观察、不宜立即下结论
Step 6:整合成一次性简报
最终只输出成稿,不展示内部检索过程、筛选过程或中间判断草稿。正文不解释如何拿到信息,只呈现结果与判断。
输出结构
最终输出建议采用以下结构:
自选股盘前简报({YYYY-MM-DD})
一、今晨最重要的 3 个结论
- 结论 1:{一句话说明最重要变化}
- 结论 2:{一句话说明第二重要变化}
- 结论 3:{一句话说明第三重要变化}
二、重点股票盘前看点
| 股票 | 隔夜变化 | 今日关注点 | 风险提示 | 优先级 |
|---|---|---|---|---|
| {股票A} | {一句话概述} | {开盘先看什么} | {潜在风险} | 高 |
| {股票B} | {一句话概述} | {开盘先看什么} | {潜在风险} | 中 |
三、今日事件日程
| 时间 | 事件 | 关联股票/板块 | 关注原因 |
|---|---|---|---|
| {时间} | {事件} | {对象} | {为什么重要} |
四、盘前行动提示
- 优先盯盘对象:{股票/板块},原因是 {原因}
- 需要等待确认的对象:{股票/板块},等待 {信号}
- 容易出现预期落差的对象:{股票/板块},风险在 {风险点}
质量要求
- 所有结论都要围绕“今天是否值得优先关注”展开,避免写成宽泛晨报。
- 同一只股票的描述要优先呈现增量信息,不重复基础介绍。
- 若某股票隔夜无实质变化,应明确写“无新增重大信息”,不要硬凑内容。
- 盘前判断要保留条件语气,避免把未开盘状态写成既成事实。
- 输出应控制在可 3 分钟读完的密度内,优先短句和表格。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 111 lines · 62 tokens per session scan A 0e613b05492a
daily_watchlist_morning_brief_skill is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 62 tokens to every session and 1,255 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
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